What You Will Be Doing:You will be responsible for developing the data and knowledge foundation that enables engineers to understand, operate, and improve Helion's fusion systems. In this role, you will partner closely with engineers, scientists, and operators to transform complex experimental and operational data (including machine telemetry, experimental results, and engineering workflows) into structured datasets, knowledge systems, and AI-enabled tools that support analysis and decision-making. You will combine data science, knowledge modeling, and applied AI techniques to make fragmented, rapidly evolving information accessible and actionable at scale. This is an onsite role that reports directly to our R&D Manager at our Everett, WA office.
You Will:- Analyze experimental and operational data to identify trends, characterize system performance, and generate actionable insights
- Develop data schemas, ontologies, and metadata frameworks to organize and standardize complex technical information
- Design and maintain data pipelines that transform and integrate diverse data sources into analytics-ready datasets
- Build and evaluate AI-powered workflows, including retrieval, summarization, and anomaly analysis systems using operational data
- Prototype decision-support tools for anomaly detection, experiment comparison, and operational reporting
- Define metrics and evaluation frameworks to ensure effectiveness, reliability, and business impact of statistical models and AI solutions
Required Skills: - 7+ years of experience in data science, statistics, machine learning, or a related quantitative field, especially within a hardware, physics, or engineering environment
- Experience working with complex operational, experimental, and time-series data to generate insights, detect anomalies, and inform engineering decisions
- Proficiency in Python and modern data science tooling, with experience building data pipelines, analytics infrastructure, or production data systems
- Experience developing structured representations of information, including data models, schemas, metadata frameworks, or ontologies
- Familiarity with LLM APIs and applied AI techniques such as RAG, embeddings, semantic search, and AI-powered workflow automation
- Ability to translate ambiguous problems into practical, scalable solutions and partner effectively with engineers and scientists
BenefitsOur total compensation package includes benefits, including but not limited to:
- Medical, Dental, and Vision plans for employees and their families
- 31 Days of PTO (21 vacation days and 10 sick days)
- 10 Paid holidays, plus company-wide winter break
- Up to 5% employer 401(k) match
- Short term disability, long term disability, and life insurance
- Paid parental leave and support (up to 16 weeks)
- Annual wellness stipend
